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Coursera

Business Analytics and Data Science Essentials

EDUCBA via Coursera

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Overview

Master the CAP certification with a structured, real-world approach to analytics. Learn how to transform business problems into data-driven solutions. This course is designed to help you build a strong foundation in business analytics, data science workflows, and analytical problem-solving aligned with CAP certification standards. You will learn how to frame business problems, translate them into analytical questions, and apply data-driven methodologies to generate actionable insights. Through practical concepts and structured frameworks, you will explore key topics such as data science lifecycle, feature engineering, predictive analytics, model validation, and data visualization. The course also emphasizes data storytelling and stakeholder communication, ensuring you can effectively present insights. Whether you are preparing for the CAP exam or aiming to strengthen your analytics career, this course provides a complete end-to-end understanding of analytics processes, helping you make smarter, data-driven decisions in real-world scenarios.

Syllabus

  • CAP Foundations & Certification Overview
    • Develop a strong foundation in CAP certification, business problem framing, and stakeholder alignment to enable structured analytics thinking.
  • Problem Definition & Business Alignment
    • Learn to define, refine, and structure business problems using systematic approaches and advanced problem-solving techniques.
  • Metrics, Models & Data Science Basics
    • Understand key metrics, business drivers, and foundational data science concepts to support data-driven decision-making.
  • Analytical Techniques & Modeling
    • Explore data science processes, feature engineering, and model validation techniques to build effective analytical solutions.
  • CAP Exam Strategy & Terminology
    • Master CAP frameworks, terminology, and analytical concepts to strengthen exam readiness and practical application.
  • Data Visualization & Data Management
    • Learn visualization techniques, storytelling strategies, and data quality management to communicate insights effectively.
  • Analytics Methodology & Implementation
    • Apply analytics methodologies, model validation, and simulation techniques to implement and optimize data-driven solutions.

Taught by

EDUCBA

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